2 papers
stat.ME2026
Bayesian Graphical Models under Positivity Constraints: A Scalable Generalized Likelihood Approach
Swarnali Raha, Partha Sarkar, Sirani M. Perera +2
We develop a computationally scalable Bayesian framework for precision matrix estimation in Gaussian graphical models under total positivity constraints. To overcome the high compu…
stat.ML2026
Optimality of Sub-network Laplace Approximations: New Results and Methods
Swarnali Raha, Kshitij Khare, Rohit K Patra
Although the Laplace approximation offers a simple route to uncertainty quantification in deep neural networks, its reliance on inverting large Hessian matrices has motivated a ran…